[LeetCode] Paint House

本文介绍了一种解决全屋不同颜色油漆成本最小化的动态规划算法。通过优化每间房屋的颜色选择,确保相邻房屋颜色不相同,从而找到最低总成本方案。

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Problem Description:

There are a row of n houses, each house can be painted with one of the three colors: red, blue or green. The cost of painting each house with a certain color is different. You have to paint all the houses such that no two adjacent houses have the same color.

The cost of painting each house with a certain color is represented by a n x 3 cost matrix. For example, costs[0][0] is the cost of painting house 0 with color red;costs[1][2] is the cost of painting house 1 with color green, and so on... Find the minimum cost to paint all houses.

Note:
All costs are positive integers.


An interesting DP problem. This link posts a nice solution which gives costs[i][j] a new meaning and modify it directly and so save the usage of additional spaces.

Well, personally I would like to keep costs unmodified. I rewrite the code in C++, a little verbose than the one in the above link:-)

 1 class Solution {
 2 public:
 3     int minCost(vector<vector<int>>& costs) {
 4         if (costs.empty()) return 0;
 5         int n = costs.size(), r = 0, g = 0, b = 0;
 6         for (int i = 0; i < n; i++) {
 7             int rr = r, bb = b, gg = g; 
 8             r = costs[i][0] + min(bb, gg);
 9             b = costs[i][1] + min(rr, gg);
10             g = costs[i][2] + min(rr, bb);
11         }
12         return min(r, min(b, g));
13     } 
14 };

r/b/g in the i-th loop means the minimum costs to paint the i-th house in red/blue/green respectively plus painting the previous houses. The time and space complexities are still ofO(n) and O(1).

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